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dc.contributor.authorJajodia, Sushil
dc.contributor.authorLitwin, Witold
dc.contributor.authorSchwarz, Thomas
dc.date.accessioned2014-02-11T14:35:55Z
dc.date.available2014-02-11T14:35:55Z
dc.date.issued2010
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/12624
dc.language.isoenen
dc.subjectLinear Hashingen
dc.subjectLH*en
dc.subjectScalable Distributed Data Structuresen
dc.subjectEncryptionen
dc.subjectDatabase as a Serviceen
dc.subject.ddc005en
dc.titleLH*RE: A Scalable Distributed Data Structure with Recoverable Encryptionen
dc.typeCommunication / Conférence
dc.description.abstractenLH*RE is a new Scalable Distributed Data Structure (SDDS) for hash files stored in a cloud. The client-side symmetric encryption protects the data against the server-side disclosure. The encryption key(s) at the client are backed up in the file. The client may recover/revoke any keys lost or stolen from its node. A trusted official can also do it on behalf of the client or of an authority, e.g., to imperatively access the data of a client missing or disabled. In contrast, with high assurance, e.g., 99%, the attacker of the cloud should not usually disclose any data, even if the intrusion succeeds over dozens or possibly thousands of servers for a larger file. Storage and primary key-based access performance of LH*RE should be about those of the well-known LH* SDDS. Two messages should typically suffice for a key-based search and four in the worst case, with the application data load factor of 70%, regardless of the file scale up. These features are among most efficient for a hash SDDS. LH*RE should be attractive with respect to the competition.en
dc.identifier.citationpages354-361en
dc.relation.ispartoftitleIEEE 3rd International Conference on Cloud Computing (CLOUD), 2010 - proceedingsen
dc.relation.ispartofpublnameIEEEen
dc.relation.ispartofdate2010
dc.subject.ddclabelProgrammation, logiciels, organisation des donnéesen
dc.relation.ispartofisbn978-1-4244-8207-8en
dc.relation.conftitleIEEE 3rd International Conference on Cloud Computing (CLOUD), 2010en
dc.relation.confdate2010-07
dc.relation.confcityMiamien
dc.relation.confcountryÉtats-Unisen
dc.relation.forthcomingnonen
dc.identifier.doihttp://dx.doi.org/10.1109/CLOUD.2010.41en


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